Triple
T1259379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siberia |
E12462
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lena River |
E17170
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lena River | Statement: [Siberia, contains, Lena River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lena River Context triple: [Siberia, contains, Lena River]
-
A.
Lena River
chosen
The Lena River is one of the longest rivers in the world, flowing through Siberia in northeastern Russia to the Arctic Ocean.
-
B.
Ural River
The Ural River is a major river in Russia and Kazakhstan that traditionally marks part of the boundary between the European and Asian continents.
-
C.
Okhta River
The Okhta River is a tributary waterway in northwestern Russia that flows through Saint Petersburg before joining the Neva River.
-
D.
Yenisei River
The Yenisei River is one of the longest rivers in Asia, flowing northward through Siberia to the Arctic Ocean and forming a major part of the central Eurasian river system.
-
E.
Samara River
The Samara River is a significant river in European Russia that flows through the Samara region before joining the Volga River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc3a2848190891e73b351019d5b |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1a06d7c8190b6c38ff6d18a4542 |
completed | March 8, 2026, 7:44 p.m. |
Created at: March 1, 2026, 7:50 p.m.